This paper discusses the validity of using common random numbers (CRNs) with two-stage selection procedures to improve the possibility of correct selection and discusses the intri...
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
We study selectivity estimation techniques for set similarity queries. A wide variety of similarity measures for sets have been proposed in the past. In this work we concentrate o...
Marios Hadjieleftheriou, Xiaohui Yu, Nick Koudas, ...
In this paper, we present a performance evaluation of a wide-area cluster system based on a rewallenabled Globus metacomputing toolkit. In order to establish communication links ...
Traditionally, ad hoc networks have been viewed as a connected graph over which end-to-end routing paths had to be established. Mobility was considered a necessary evil that inval...